A new methodology for the treatment of Monte-Carlo vs. experimental data

Autores

  • Renato R. W. Affonso Instituto de Engenharia Nuclear
  • Ademir Xavier da Silva UFRJ (COPPE)
  • César Marques Salgado Instituto de Engenharia Nuclear

Palavras-chave:

gamma ray densitometry, volume fraction, MCNP code

Resumo

This work will be performed as part of a doctoral thesis. Its objective is the development of a methodology based on gamma ray densitometry techniques and artificial neural networks to predict volume fractions in multiphase flows with the support of computational fluid-dynamics (CFD) and MCNP-X code.

Biografia do Autor

César Marques Salgado, Instituto de Engenharia Nuclear

DIRA

Referências

PELOWITZ, D. B. MCNP-X TM User’s Manual. Version 2.5.0. New Mexico: Los Alamos National Laboratory Report, 2005. Não paginado.

Capa Progress Report 2015-2017

Downloads

Publicado

2021-07-08

Como Citar

Affonso, R. R. W., da Silva, A. X., & Salgado, C. M. (2021). A new methodology for the treatment of Monte-Carlo vs. experimental data. Instituto De Engenharia Nuclear: Progress Report, (3), 12. Recuperado de https://revistas.ien.gov.br/index.php/ienprogressreport/article/view/311

Edição

n. 3 (2018): IEN - Progress Report 2015-2017 n.3

Seção

Application of Nuclear Techniques in Health and Environment

Licença

Copyright (c) 2018 Renato R. W. Affonso, Ademir Xavier da Silva, César Marques Salgado

Creative Commons License

Este trabalho está licenciado sob uma licença Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.